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Improve the parsable results dump at end of train, stop excessive output, only display top-10.

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Ross Wightman 2024-11-20 16:43:16 -08:00 committed by Ross Wightman
parent 36b5d1adaa
commit 620cb4f3cb
1 changed files with 15 additions and 6 deletions
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21
train.py
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@ -930,20 +930,29 @@ def main():
# step LR for next epoch
lr_scheduler.step(epoch + 1, latest_metric)
results.append({
latest_results = {
'epoch': epoch,
'train': train_metrics,
'validation': eval_metrics,
})
}
if eval_metrics is not None:
latest_results['validation'] = eval_metrics
results.append(latest_results)
except KeyboardInterrupt:
pass
results = {'all': results}
if best_metric is not None:
results['best'] = results['all'][best_epoch - start_epoch]
# log best metric as tracked by checkpoint saver
_logger.info('*** Best metric: {0} (epoch {1})'.format(best_metric, best_epoch))
print(f'--result\n{json.dumps(results, indent=4)}')
if utils.is_primary(args):
# for parsable results display, dump top-10 summaries to avoid excess console spam
display_results = sorted(
results,
key=lambda x: x.get('validation', x.get('train')).get(eval_metric, 0),
reverse=decreasing_metric,
)
print(f'--result\n{json.dumps(display_results[-10:], indent=4)}')
def train_one_epoch(